Prometheus MCP Server with 14 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersMonitor your infrastructure with Prometheus — run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent. Vinkius routes your AI agents directly to Prometheus through a governed connection. 14 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE
Gemini* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Prometheus MCP Server?
The Prometheus MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Prometheus via 14 tools. Monitor your infrastructure with Prometheus — run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (14)
Tools for your AI Agents to operate Prometheus
Ask your AI agent "Run an instant query for 'up' to see which targets are currently reachable." and get the answer without opening a single dashboard. With 14 tools connected to real Prometheus data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Prometheus App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 14 Prometheus tools with your AI agents right now
Vinkius routes your AI agents to Prometheus through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Clean tombstones on Prometheus
enable-admin-api to be enabled. Remove deleted data from disk
Create snapshot on Prometheus
enable-admin-api to be enabled on the Prometheus server. Create a snapshot of all current data
Delete series on Prometheus
enable-admin-api to be enabled. Delete data for a selection of series in a time range
Find series on Prometheus
Find time series matching label selectors
Get label values on Prometheus
Get all values for a specific label
Get labels on Prometheus
Get a list of all label names
Get metadata on Prometheus
Get metadata about metrics scraped from targets
Get status buildinfo on Prometheus
Get Prometheus build information
Get status config on Prometheus
Get the currently loaded Prometheus configuration (YAML)
Get status flags on Prometheus
Get configured Prometheus flag values
Get status runtimeinfo on Prometheus
Get Prometheus runtime information
Get status tsdb on Prometheus
Get TSDB cardinality statistics
Query on Prometheus
Evaluate a PromQL expression at a single point in time
Query range on Prometheus
Evaluate a PromQL expression over a range of time
What the Prometheus MCP Server unlocks
Connect your Prometheus instance to any AI agent and transform your observability data into actionable insights through natural conversation.
What you can do
- Instant & Range Queries — Evaluate complex PromQL expressions for real-time status or historical trends over specific time windows.
- Metric Discovery — Find time series matching specific label selectors and explore available labels and their values across your environment.
- Metadata Inspection — Retrieve detailed metadata about metrics scraped from targets to understand units, types, and help text.
- Admin Operations — Create data snapshots, delete specific series, and clean tombstones (requires admin API enabled).
- System Status — Inspect your Prometheus configuration, flags, and runtime information to ensure your monitoring stack is healthy.
How it works
1. Subscribe to this server
2. Enter your Prometheus Server URL (and optional Auth Token)
3. Start querying your metrics from Claude, Cursor, or any MCP-compatible client
No more manual dashboard building just to answer a quick question about system health. Your AI acts as a dedicated SRE or DevOps engineer.
Who is this for?
- SRE & DevOps Engineers — instantly troubleshoot incidents by querying metrics and checking configurations without leaving the terminal or chat.
- Backend Developers — verify service performance and resource consumption directly from the code editor.
- Platform Teams — automate infrastructure health reports and audit monitoring configurations via natural language.
Frequently asked questions about the Prometheus MCP Server
Can I run a PromQL query to get the current value of a metric?
Yes. Use the query tool to evaluate any PromQL expression at a single point in time. This is perfect for checking current CPU usage, memory levels, or error rates.
How do I see how a metric has changed over the last hour?
Use the query_range tool. You can specify the start and end timestamps along with a step duration to retrieve historical data points for graphing or trend analysis.
Can I perform administrative tasks like creating backups?
Yes, if your Prometheus server has the Admin API enabled (--web.enable-admin-api), you can use the create_snapshot tool to create a snapshot of all current data on disk.
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We built the connector to Prometheus. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Prometheus to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.